ViSA: Visited-State Augmentation for Generalized Goal-Space Contrastive Reinforcement Learning

Documenti analoghi

• Progressive-Resolution Policy Distillation: Leveraging Coarse-Resolution Simulations for Time-Efficient Fine-Resolution Policy Learning
  di: Kadokawa, Yuki, et al.
  Pubblicazione: (2024)
• Weber-Fechner Law in Temporal Difference learning derived from Control as Inference
  di: Takahashi, Keiichiro, et al.
  Pubblicazione: (2024)
• Robust Iterative Value Conversion: Deep Reinforcement Learning for Neurochip-driven Edge Robots
  di: Kadokawa, Yuki, et al.
  Pubblicazione: (2024)
• Disentangled Iterative Surface Fitting for Contact-stable Grasp Planning
  di: Yamanokuchi, Tomoya, et al.
  Pubblicazione: (2025)
• Prolonging Tool Life: Learning Skillful Use of General-purpose Tools through Lifespan-guided Reinforcement Learning
  di: Wu, Po-Yen, et al.
  Pubblicazione: (2025)